Nir S. Gov

10.3k citations
186 papers · 7.4k · h-index 48

Impact in

Papers in

    • Cellular Mechanics and Interactions 83
    • Microtubule and mitosis dynamics 31
    • Lipid Membrane Structure and Behavior 45

Nir S. Gov

175 papers receiving 7.3k citations

Peers

Nir S. Gov
Comparison fields: 5 of 158
  • Cell Biology 3.2k
  • Condensed Matter Physics 1.4k
  • Biophysics 398
  • Biomedical Engineering 2.2k
  • Statistical and Nonlinear Physics 633
Replace Jean‐François Joanny with:
Jean‐François Joanny France
Karsten Kruse Germany
Andreas R. Bausch Germany
Guillaume Salbreux United Kingdom
Stephan W. Grill Germany
Madan Rao India
Pascal Silberzan France
Raphaël Voituriez France
Christoph F. Schmidt Germany
Sean X. Sun United States
Nir S. Gov relative to Jean‐François Joanny France Jean‐François Joanny's profile →
Citations per field
00.5×1.5×
Jean‐François Joanny · 1×
Citations per year

Countries citing papers authored by Nir S. Gov

Since Specialization
Citations

This map shows the geographic impact of Nir S. Gov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nir S. Gov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir S. Gov more than expected).

Fields of papers citing papers by Nir S. Gov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir S. Gov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nir S. Gov. The network helps show where Nir S. Gov may publish in the future.

Co-authors

The 25 scholars most cited alongside Nir S. Gov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nir S. Gov Line = papers co-authored together Nir S. Gov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010319
2 2015316
3 2006312
4 2015310
5 2004250
6 2013224
7 2016223
8 2003159
9 2005137
10 2015127
11 2013126
12 2015125
13 2015121
14 2014118
15 2018117
16 2015112
17 2004112
18 2011111
19 201599
20 200794

About Nir S. Gov

Nir S. Gov is a scholar working on Cell Biology, Molecular Biology, Biomedical Engineering, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 186 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (83 papers), Lipid Membrane Structure and Behavior (45 papers), Microtubule and mitosis dynamics (31 papers), Micro and Nano Robotics (30 papers), 3D Printing in Biomedical Research (24 papers), Erythrocyte Function and Pathophysiology (19 papers), Microfluidic and Bio-sensing Technologies (17 papers) and Blood properties and coagulation (17 papers). The work is most often cited by research in Cell Biology (3.2k citations), Condensed Matter Physics (1.4k citations), Biophysics (398 citations), Biomedical Engineering (2.2k citations) and Statistical and Nonlinear Physics (633 citations). Nir S. Gov has collaborated with scholars based in Israel, United States and France. Frequent co-authors include S. A. Safran, Roie Shlomovitz, Thorsten Auth, Itai Pinkoviezky, Raphaël Voituriez, Jean‐François Joanny, Ajay Gopinathan, Anton Zilman, Pascal Silberzan and Alex Veksler. Their work appears in journals such as Biophysical Journal, Proceedings of the National Academy of Sciences, Physical Review Letters, Nature Communications and Physical review. E.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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